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Extreme P Value MCP Server

@koido

About Extreme P Value MCP Server

No overview available yet

#mathgpt #math-solver #math-assistant

Basic information

Category

Other

Transports

stdio

Publisher

koido

Submitted by

Masaru Koido

Config

Add this server to your MCP-compatible client using the configuration below.

{
  "mcpServers": {
    "extreme-p-mcp": {
      "command": "uv",
      "args": [
        "sync"
      ]
    }
  }
}

Tools

No tools detected

We auto-extract tools from the README. The maintainer can list them under a ## Tools heading to populate this section.

Overview

What is Extreme P Value MCP Server?

This MCP server provides an API interface for extreme p-value calculations (z, t, F, chi‑square, SAIGE, Wald) that are implemented in the R script extreme-P.R, accessed via Python using pyper and served with FastMCP. It is intended for researchers and statisticians who need high‑precision p‑values for extreme test statistics.

How to use Extreme P Value MCP Server?

Install dependencies with uv sync, then start the server with uv run server.py. API endpoints such as /pvalue_extreme_z(z: float) are available, and the helper class ExtremePHelper in extreme_p_helper.py provides a direct Python interface.

Key features of Extreme P Value MCP Server?

Extreme p‑value computations for z, t, F, chi‑square, SAIGE, and Wald.
Returns results as mantissa and exponent.
Built with FastMCP for easy API access.
Integrates R calculations via the pyper bridge.
Simple setup using uv and a single pyproject.toml.

Use cases of Extreme P Value MCP Server?

Computing extremely small p‑values in genome‑wide association studies.
Evaluating statistical significance in fixed‑effect meta‑analyses.
Handling p‑values beyond standard floating‑point precision.
Using the SAIGE method for case‑control study p‑values.
Automating p‑value calculations in a server‑based workflow.

FAQ from Extreme P Value MCP Server

What dependencies are required?

You need uv, pyper, fastmcp, and mcp[cli]. All are defined in pyproject.toml.

Is the server stable and ready for production?

No — the project is under active development and its APIs and features may change without notice.

How do I start the server?

Run uv sync to install dependencies, then uv run server.py.

What API endpoints does the server provide?

Endpoints include /pvalue_extreme_z, /pvalue_extreme_t, /pvalue_extreme_f, /pvalue_extreme_chisq, `/pvalue_extreme

Comments

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